{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* summary: 第九章实验的代码，卷积神经网络实现手写体识别\n",
    "* author: Mr. GAO\n",
    "* date：2022-9-25\n",
    "**********"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据准备\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 加载MINST数据集\n",
    "    * 包含60000个训练集和10000测试数据集。分为图片和标签，图片是28*28的像素矩阵，标签为0~9共10个数字。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torchvision import datasets, transforms, utils\n",
    "\n",
    "transform = transforms.Compose([transforms.ToTensor(),\n",
    "                               transforms.Normalize(mean=[0.5],std=[0.5])])\n",
    "\n",
    "train_data = datasets.MNIST(root = \"./data/\",\n",
    "                            transform=transform,\n",
    "                            train = True,\n",
    "                            download = True)\n",
    "\n",
    "test_data = datasets.MNIST(root=\"./data/\",\n",
    "                           transform = transform,\n",
    "                           train = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 训练集、测试集的大小"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([60000, 28, 28])\n",
      "torch.Size([10000, 28, 28])\n"
     ]
    }
   ],
   "source": [
    "print(train_data.data.shape)\n",
    "print(test_data.data.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 按照batch_size随机组合存放训练集和测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "938\n",
      "157\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "\n",
    "train_loader = torch.utils.data.DataLoader(train_data,batch_size=64,\n",
    "                                          shuffle=True,num_workers=2)\n",
    "test_loader = torch.utils.data.DataLoader(test_data,batch_size=64,\n",
    "                                          shuffle=True,num_workers=2)\n",
    "\n",
    "print(len(train_loader))\n",
    "print(len(test_loader))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torchvision.datasets.mnist.MNIST"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(train_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 从二维数组生成一张图片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "oneimg,label = train_data[0]\n",
    "oneimg = oneimg.numpy().transpose(1,2,0) \n",
    "std = [0.5]\n",
    "mean = [0.5]\n",
    "oneimg = oneimg * std + mean\n",
    "oneimg.resize(28,28)\n",
    "plt.imshow(oneimg)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 从三维生成一张黑白图片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "oneimg,label = train_data[0]\n",
    "grid = utils.make_grid(oneimg)\n",
    "grid = grid.numpy().transpose(1,2,0) \n",
    "std = [0.5]\n",
    "mean = [0.5]\n",
    "grid = grid * std + mean\n",
    "plt.imshow(grid)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 输出一个batch的图片和标签"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor(4) tensor(4) tensor(5) tensor(2) tensor(2) tensor(8) tensor(8) tensor(6) \n",
      "tensor(8) tensor(6) tensor(0) tensor(7) tensor(9) tensor(1) tensor(3) tensor(9) \n",
      "tensor(4) tensor(2) tensor(9) tensor(2) tensor(7) tensor(3) tensor(2) tensor(1) \n",
      "tensor(2) tensor(6) tensor(8) tensor(6) tensor(9) tensor(8) tensor(2) tensor(7) \n",
      "tensor(6) tensor(7) tensor(1) tensor(2) tensor(0) tensor(8) tensor(8) tensor(2) \n",
      "tensor(2) tensor(1) tensor(8) tensor(0) tensor(6) tensor(3) tensor(6) tensor(2) \n",
      "tensor(8) tensor(3) tensor(8) tensor(5) tensor(0) tensor(9) tensor(9) tensor(8) \n",
      "tensor(5) tensor(9) tensor(0) tensor(1) tensor(9) tensor(6) tensor(2) tensor(4) \n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "images, lables = next(iter(train_loader))\n",
    "img = utils.make_grid(images)\n",
    "# transpose 转置函数(x=0,y=1,z=2),新的x是原来的y轴大小，新的y是原来的z轴大小，新的z是原来的x大小\n",
    "# 相当于把x=1这个移到最后面去。\n",
    "img = img.numpy().transpose(1,2,0) \n",
    "std = [0.5]\n",
    "mean = [0.5]\n",
    "img = img * std + mean\n",
    "for i in range(64):\n",
    "    print(lables[i], end=\" \")\n",
    "    i += 1\n",
    "    if i%8 == 0:\n",
    "        print(end='\\n')\n",
    "plt.imshow(img)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 配置网络"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 网络结构是两个卷积层，3个全连接层。\n",
    "* Conv2d参数\n",
    "    * in_channels(int) – 输入信号的通道数目\n",
    "    * out_channels(int) – 卷积产生的通道数目\n",
    "    * kerner_size(int or tuple) - 卷积核的尺寸\n",
    "    * stride(int or tuple, optional) - 卷积步长\n",
    "    * padding(int or tuple, optional) - 输入的每一条边补充0的层数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 定义一个CNN网络"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch import nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "class CNN(nn.Module):   # nn.Module的子类\n",
    "    def __init__(self):\n",
    "        super(CNN,self).__init__()\n",
    "        self.conv1 = nn.Conv2d(1,32,kernel_size=3,stride=1,padding=1)\n",
    "        self.pool = nn.MaxPool2d(2,2)\n",
    "        self.conv2 = nn.Conv2d(32,64,kernel_size=3,stride=1,padding=1)\n",
    "        self.fc1 = nn.Linear(64*7*7,1024)  #两个池化，所以是7*7而不是14*14\n",
    "        self.fc2 = nn.Linear(1024,512)\n",
    "        self.fc3 = nn.Linear(512,10)\n",
    "#       self.dp = nn.Dropout(p=0.5)\n",
    "\n",
    "    def forward(self,x):\n",
    "        x = self.pool(F.relu(self.conv1(x)))\n",
    "        x = self.pool(F.relu(self.conv2(x)))\n",
    "\n",
    "        x = x.view(-1, 64 * 7* 7)#将数据平整为一维的 \n",
    "        x = F.relu(self.fc1(x))\n",
    "#         x = self.fc3(x)\n",
    "#         self.dp(x)\n",
    "        x = F.relu(self.fc2(x))   \n",
    "        x = self.fc3(x)  \n",
    "#         x = F.log_softmax(x,dim=1) NLLLoss()才需要，交叉熵不需要\n",
    "        return x\n",
    "\n",
    "net = CNN()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 定义损失函数和优化函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.optim as optim\n",
    "\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9)\n",
    "# 也可以选择Adam优化方法\n",
    "# optimizer = torch.optim.Adam(net.parameters(),lr=1e-2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 模型训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1,  100] loss :2.293\n",
      "[1,  200] loss :2.265\n",
      "[1,  300] loss :2.215\n",
      "[1,  400] loss :2.063\n",
      "[1,  500] loss :1.562\n",
      "[1,  600] loss :0.916\n",
      "[1,  700] loss :0.598\n",
      "[1,  800] loss :0.484\n",
      "[1,  900] loss :0.402\n",
      "[2,  100] loss :0.354\n",
      "[2,  200] loss :0.318\n",
      "[2,  300] loss :0.296\n",
      "[2,  400] loss :0.261\n",
      "[2,  500] loss :0.262\n",
      "[2,  600] loss :0.251\n",
      "[2,  700] loss :0.221\n",
      "[2,  800] loss :0.219\n",
      "[2,  900] loss :0.198\n",
      "[3,  100] loss :0.172\n",
      "[3,  200] loss :0.169\n",
      "[3,  300] loss :0.177\n",
      "[3,  400] loss :0.149\n",
      "[3,  500] loss :0.141\n",
      "[3,  600] loss :0.149\n",
      "[3,  700] loss :0.139\n",
      "[3,  800] loss :0.124\n",
      "[3,  900] loss :0.133\n",
      "[4,  100] loss :0.116\n",
      "[4,  200] loss :0.111\n",
      "[4,  300] loss :0.111\n",
      "[4,  400] loss :0.109\n",
      "[4,  500] loss :0.110\n",
      "[4,  600] loss :0.096\n",
      "[4,  700] loss :0.099\n",
      "[4,  800] loss :0.093\n",
      "[4,  900] loss :0.088\n",
      "[5,  100] loss :0.080\n",
      "[5,  200] loss :0.089\n",
      "[5,  300] loss :0.098\n",
      "[5,  400] loss :0.087\n",
      "[5,  500] loss :0.080\n",
      "[5,  600] loss :0.073\n",
      "[5,  700] loss :0.077\n",
      "[5,  800] loss :0.084\n",
      "[5,  900] loss :0.071\n",
      "[6,  100] loss :0.071\n",
      "[6,  200] loss :0.073\n",
      "[6,  300] loss :0.062\n",
      "[6,  400] loss :0.066\n",
      "[6,  500] loss :0.069\n",
      "[6,  600] loss :0.070\n",
      "[6,  700] loss :0.068\n",
      "[6,  800] loss :0.070\n",
      "[6,  900] loss :0.078\n",
      "[7,  100] loss :0.065\n",
      "[7,  200] loss :0.058\n",
      "[7,  300] loss :0.059\n",
      "[7,  400] loss :0.056\n",
      "[7,  500] loss :0.074\n",
      "[7,  600] loss :0.069\n",
      "[7,  700] loss :0.063\n",
      "[7,  800] loss :0.051\n",
      "[7,  900] loss :0.055\n",
      "[8,  100] loss :0.052\n",
      "[8,  200] loss :0.056\n",
      "[8,  300] loss :0.056\n",
      "[8,  400] loss :0.051\n",
      "[8,  500] loss :0.053\n",
      "[8,  600] loss :0.056\n",
      "[8,  700] loss :0.051\n",
      "[8,  800] loss :0.054\n",
      "[8,  900] loss :0.060\n",
      "[9,  100] loss :0.050\n",
      "[9,  200] loss :0.049\n",
      "[9,  300] loss :0.046\n",
      "[9,  400] loss :0.049\n",
      "[9,  500] loss :0.049\n",
      "[9,  600] loss :0.059\n",
      "[9,  700] loss :0.042\n",
      "[9,  800] loss :0.052\n",
      "[9,  900] loss :0.050\n",
      "[10,  100] loss :0.049\n",
      "[10,  200] loss :0.051\n",
      "[10,  300] loss :0.039\n",
      "[10,  400] loss :0.037\n",
      "[10,  500] loss :0.047\n",
      "[10,  600] loss :0.047\n",
      "[10,  700] loss :0.045\n",
      "[10,  800] loss :0.040\n",
      "[10,  900] loss :0.041\n",
      "Finished Training\n"
     ]
    }
   ],
   "source": [
    "train_accs = []\n",
    "train_loss = []\n",
    "test_accs = []\n",
    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
    "net = net.to(device)\n",
    "for epoch in range(10):\n",
    "    running_loss = 0.0\n",
    "    for i,data in enumerate(train_loader,0):#0是下标起始位置默认为0\n",
    "        # data 的格式[[inputs, labels]]       \n",
    "#         inputs,labels = data\n",
    "        inputs,labels = data[0].to(device), data[1].to(device)\n",
    "        #初始为0，清除上个batch的梯度信息\n",
    "        optimizer.zero_grad()         \n",
    "        \n",
    "        #前向+后向+优化     \n",
    "        outputs = net(inputs)\n",
    "        loss = criterion(outputs,labels)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "        \n",
    "        # loss 的输出，每个一百个batch输出，平均的loss\n",
    "        running_loss += loss.item()\n",
    "        if i%100 == 99:\n",
    "            print('[%d,%5d] loss :%.3f' %\n",
    "                 (epoch+1,i+1,running_loss/100))\n",
    "            running_loss = 0.0\n",
    "        train_loss.append(loss.item())\n",
    "        \n",
    "        # 训练曲线的绘制 一个batch中的准确率\n",
    "        correct = 0\n",
    "        total = 0\n",
    "        _, predicted = torch.max(outputs.data, 1)\n",
    "        total = labels.size(0)# labels 的长度\n",
    "        correct = (predicted == labels).sum().item() # 预测正确的数目\n",
    "        train_accs.append(100*correct/total)\n",
    "        \n",
    "print('Finished Training')            "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 模型保存"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "PATH = './mnist_net.pth'\n",
    "torch.save(net.state_dict(), PATH)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 模型评估"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def draw_train_process(title,iters,costs,accs,label_cost,lable_acc):\n",
    "    plt.title(title, fontsize=24)\n",
    "    plt.xlabel(\"iter\", fontsize=20)\n",
    "    plt.ylabel(\"acc(\\%)\", fontsize=20)\n",
    "    plt.plot(iters, costs,color='red',label=label_cost) \n",
    "    plt.plot(iters, accs,color='blue',label=lable_acc) \n",
    "    plt.legend()\n",
    "    plt.grid()\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "train_iters = range(len(train_accs))\n",
    "draw_train_process('training',train_iters,train_loss,train_accs,'training loss','training acc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 检验一个batch的分类情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GroundTruth:  8 3 2 4 3 2 8 3 1 3 8 2 8 3 0 1 2 0 6 2 1 9 9 3 6 9 7 6 2 3 9 3 7 6 0 2 2 3 7 3 6 9 6 2 7 0 4 0 5 2 4 5 2 2 3 4 6 1 5 2 9 9 1 6\n"
     ]
    }
   ],
   "source": [
    "dataiter = iter(test_loader)\n",
    "images, labels = dataiter.next()\n",
    "\n",
    "# print images\n",
    "test_img = utils.make_grid(images)\n",
    "test_img = test_img.numpy().transpose(1,2,0)\n",
    "std = [0.5,0.5,0.5]\n",
    "mean =  [0.5,0.5,0.5]\n",
    "test_img = test_img*std+0.5\n",
    "plt.imshow(test_img)\n",
    "plt.show()\n",
    "print('GroundTruth: ', ' '.join('%d' % labels[j] for j in range(64)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 测试集上面整体的准确率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_net = CNN()\n",
    "test_net.load_state_dict(torch.load(PATH))\n",
    "test_out = test_net(images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of the network on the  test images: 98 %\n"
     ]
    }
   ],
   "source": [
    "correct = 0\n",
    "total = 0\n",
    "with torch.no_grad():# 进行评测的时候网络不更新梯度\n",
    "    for data in test_loader:\n",
    "        images, labels = data\n",
    "        outputs = test_net(images)\n",
    "        _, predicted = torch.max(outputs.data, 1)\n",
    "        total += labels.size(0)# labels 的长度\n",
    "        correct += (predicted == labels).sum().item() # 预测正确的数目\n",
    "\n",
    "print('Accuracy of the network on the  test images: %d %%' % (\n",
    "    100 * correct / total))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 10个类别的准确率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of 0 : 99 %\n",
      "Accuracy of 1 : 100 %\n",
      "Accuracy of 2 : 100 %\n",
      "Accuracy of 3 : 98 %\n",
      "Accuracy of 4 : 99 %\n",
      "Accuracy of 5 : 97 %\n",
      "Accuracy of 6 : 97 %\n",
      "Accuracy of 7 : 97 %\n",
      "Accuracy of 8 : 98 %\n",
      "Accuracy of 9 : 99 %\n"
     ]
    }
   ],
   "source": [
    "class_correct = list(0. for i in range(10))\n",
    "class_total = list(0. for i in range(10))\n",
    "with torch.no_grad():\n",
    "    for data in test_loader:\n",
    "        images, labels = data\n",
    "        outputs = test_net(images)\n",
    "        _, predicted = torch.max(outputs, 1)\n",
    "        c = (predicted == labels)\n",
    "#         print(predicted == labels)\n",
    "        for i in range(10):\n",
    "            label = labels[i]\n",
    "            class_correct[label] += c[i].item()\n",
    "            class_total[label] += 1\n",
    "\n",
    "\n",
    "for i in range(10):\n",
    "    print('Accuracy of %d : %2d %%' % (\n",
    "        i, 100 * class_correct[i] / class_total[i]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 参考"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* https://bravey.github.io/2020-03-13-%E4%BD%BF%E7%94%A8Pytorch%E6%A1%86%E6%9E%B6%E7%9A%84CNN%E7%BD%91%E7%BB%9C%E5%AE%9E%E7%8E%B0%E6%89%8B%E5%86%99%E6%95%B0%E5%AD%97%EF%BC%88MNIST%EF%BC%89%E8%AF%86%E5%88%AB.html\n",
    "* https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html#sphx-glr-beginner-blitz-cifar10-tutorial-py\n",
    "* https://blog.csdn.net/weixin_45885232/article/details/103950992\n",
    "* https://zhuanlan.zhihu.com/p/30249139\n",
    "* https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html#sphx-glr-beginner-blitz-cifar10-tutorial-py"
   ]
  }
 ],
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   "language": "python",
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    "name": "ipython",
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   "file_extension": ".py",
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